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《Computer Science》 1995-02
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The Optimization Methods by Simulated Evolution and Their Application

Han Zhenxiang & Wen Fushuan  
The optimization methods by simulated evolution are search procedures whose mecha* nism are based on those of natural evolution,and are powerful in finding the global or near global optimal solutions of optimization problems. This kind of optimization methods have found applica-tions in many fields,such as machine learning,robatics,civil engineering and power systems,and have shown to be of great promise. This paper systematically introduces some fundamental aspects of the optimization methods,including their theories,methods,implementation techniques and some common problems related to their applications,together with a concise survey of their application status in several fields.
【Fund】: 高等学校博士学科点专项科研基金
【CateGory Index】: TP18
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